I'm with you here. There are ethical concerns, legal concerns for productization, and overall this defeats the purpose of creating novel algorithms rather than a better trained model.

For instance, with the same scraping being used to train the deepfake GAN, would their model be more or less effective than a competitor model?

It seems like they won from a disparity in data not an innovative technical approach.